Data Analytics Engineer (Remote - US)

This position is posted by Jobgether on behalf of dv01. We are currently looking for a Data Analytics Engineer in the United States.

Join a dynamic data team as a Data Analytics Engineer, contributing to the development and scaling of cutting-edge data pipelines that power critical business decisions. In this role, you’ll bridge the gap between engineering and analytics, working closely with internal experts and external stakeholders to ensure clean, reliable, and actionable data. You will design, implement, and maintain scalable data workflows using modern cloud-native tools, while optimizing performance and ensuring data integrity. The role offers exposure to state-of-the-art technologies, a collaborative environment, and the opportunity to influence how financial data is structured and analyzed to drive smarter decision-making.

Accountabilities

• Design, build, and maintain data pipelines to transform raw, complex data into reliable, usable datasets for analytics and reporting.
• Manage and scale business logic within data pipelines, ensuring high-quality output across multiple datasets.
• Collaborate with analysts and subject matter experts to translate business requirements into technical solutions.
• Interface directly with clients to understand data complexities and provide accurate, actionable insights.
• Leverage cloud-native technologies (Google Cloud Platform, BigQuery, Cloud Run, Dataproc) and open-source tools such as DBT, Airflow, and Apache Spark.
• Monitor and optimize pipeline performance, implementing automation where appropriate.
• Document workflows, maintain data integrity standards, and contribute to knowledge sharing across the team.

Requirements

• 3+ years of professional experience writing production-ready code in Python, DBT, Scala, Java, or similar.
• Highly proficient in SQL and relational data concepts, able to design and explain complex data models.
• 2+ years of experience managing and optimizing data pipelines; familiarity with structured finance datasets is a plus.
• Experience with big data processing frameworks and cloud-based architectures.
• Strong analytical and problem-solving skills with a focus on performance and scalability.
• Excellent collaboration and communication skills; able to work with analysts, engineers, and clients effectively.
• Interest and experience in both finance and engineering, capable of understanding loan portfolio analysis, amortization, prepayment, and default dynamics.

Benefits

• Competitive salary ($120,000 – $135,000, final offer based on experience and other factors).
• Unlimited PTO to recharge and maintain work-life balance.
• $1,000 Learning & Development Fund for professional growth.
• Remote-first environment, allowing work from home, cafes, or anywhere you thrive.
• Comprehensive health care, dental, vision coverage, and 401(k) plan.
• Fitness benefits including $138/month gym allowance and up to $1,650/year for home exercise equipment.
• Paid parental leave: 12 weeks for primary caregivers, 3 weeks for secondary caregivers.
• Inclusive and collaborative culture with opportunities to influence product development and data strategy.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company that owns the job opening. Their internal hiring team then makes the final decision and handles next steps, such as interviews or assessments.

Thank you for your interest!

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